Foundations of Intelligent Systems

Function in ConSQL.- Classification and Clustering.- Detecting Anomalies with LatentOut: Novel Scores, Architectures, and Settings.- Richness Fallacy.- Adapting loss functions to learning progress improves accuracy of classification in neural networks.- Multiscale and multivariate time series clustering: A new approach.- Improve Calibration Robustness of Temperature Scaling by Penalizing Output Entropy.- Understanding Negative Calibration from Entropy Perspective.- A New Clustering Preserving Transformation for $k$-Means Algorithm Output.- Complex Data.- A Transformer-Based Framework for Geomagnetic Activity Prediction.- AS-SIM: an approach to Action-State Process Model Discovery.- Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery.- Temporal Graph-based CNNs (TG-CNNs) for Online Course Dropout Prediction.- Graph Convolutional Networks Using Node Addition and Edge Reweighting.- Audio Super-Resolution via Vision Transformer.- Similarity embedded temporal Transformers: Enhancing stock predictions with historically similar trends.- Investigating noise interference on speech towards applying the Lombard effect automatically.- Medical Applications.- Towards Polynomial Adaptive Local Explanations for Healthcare Classifiers.- Towards Tailored Intervention in Medicine Using Patients' Segmentation.- Application of association rules to classify IBD patients.- Unsupervised Learning Based Rule Generating System with Temporal Features Extractions Tuned for Tinnitus Retraining Therapy.- Industrial Applications.- TrueDetective 4.0: a Big data architetture for real time anomaly detection.- Optimising the Machine Translation Workflow: Analysis, Development, Benchmarking, Testing and Maintenance.- Classification vs Recommendation methods for Therapeutics Recommendation.- Document LayoutAnalysis with Variational Autoencoders : an Industrial Application.